Evidence map›Paper›PMID 17203533›Full record

ArticleWorld journal of gastroenterology2006

Expression patterns and action analysis of genes associated with physiological responses during rat liver regeneration: Innate immune response.

Guang-Wen Chen, Ming-Zhen Zhang, Li-Feng Zhao, Cun-Shuan Xu

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Elevated interferon gamma signaling contributes to impaired regeneration in the aged liver.The journals of gerontology. Series A, Biological sciences and medical sciences · 2011
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Guang-Wen ChenCollege of Life Science, Lanzhou University, Lanzhou 730000, Gansu Province, China.
Ming-Zhen Zhang
Li-Feng Zhao
Cun-Shuan Xu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo study the relationship between innate immune response and liver regeneration (LR) at transcriptional level.

methodsGenes associated with innate immunity response were obtained by collecting the data from databases and retrieving articles. Gene expression changes in rat regenerating liver were detected by rat genome 230 2.0 array.

resultsA total of 85 genes were found to be associated with LR. The initially and totally expressed number of genes at the phases of initiation [0.5-4 h after partial hepatectomy (PH)], transition from G0 to G1 (4-6 h after PH), cell proliferation (6-66 h after PH), cell differentiation and structure-function reconstruction (66-168 h after PH) was 36, 9, 47, 4 and 36, 26, 78, 50, respectively, illustrating that the associated genes were mainly triggered at the initial phase of LR and worked at different phases. According to their expression similarity, these genes were classified into 5 types: 41 up-regulated, 4 predominantly up-regulated, 26 down-regulated, 6 predominantly down-regulated, and 8 approximately up/down-regulated genes, respectively. The expression of these genes was up-regulated 350 times and down-regulated 129 times respectively, demonstrating that the expression of most genes was enhanced while the expression of a small number of genes was decreased during LR. Their time relevance was classified into 14 groups, showing that the cellular physiological and biochemical activities during LR were staggered. According to the gene expression patterns, they were classified into 28 types, indicating that the cellular physiological and biochemical activities were diverse and complicated during LR.

conclusionCongenital cellular immunity is enhanced mainly in the forepart, prophase and anaphase of LR while congenital molecular immunity is increased dominantly in the forepart and anaphase of LR. A total of 85 genes associated with LR play an important role in innate immunity.

Indexed as

AnimalsCell ProliferationFemaleGene Expression RegulationGenes, MHC Class IIHepatectomyLiverLiver RegenerationMaleRandom AllocationRatsRats, Sprague-DawleyTime FactorsTranscription, Genetic

Identifiers

PMID17203533
PMCPMC4087555

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.